Connectivity templates

ABSTRACT

An identification of a connectivity template to be applied to a design of a computer network is received. The design of the network is automatically analyzed to identify eligible application points in the design of the network where the connectivity template is eligible to be applied. A specification of one or more specific ones of the identified eligible application points where the connectivity template is to be applied is received. The connectivity template is applied to the specified one or more specific ones of the identified eligible application points to configure the computer network.

BACKGROUND OF THE INVENTION

Configuring a network has often required a network administrator to manually configure network components to create a desired network. For example, the network administrator would often have to manually configure each of many network switches, servers, storage, and other network devices to create a desired network configuration. When network devices and solutions are added, removed, or modified, modification of the entire integration and configuration may need to be performed again. Manually monitoring this type of network also adds to the complexity and inefficiencies. Therefore, there exists a need for a more efficient configuration, management, and monitoring solution for network devices and solutions.

BRIEF DESCRIPTION OF THE DRAWINGS

Various embodiments of the invention are disclosed in the following detailed description and the accompanying drawings.

FIG. 1 is a diagram illustrating an embodiment of a network management environment.

FIG. 2 is a diagram illustrating an embodiment of a management server.

FIG. 3 is a flowchart illustrating an embodiment of a process for applying a connectivity template to configure a computer network.

FIG. 4 is a flowchart illustrating an embodiment of a process for applying a connectivity template.

FIG. 5 is a diagram illustrating an embodiment of a user interface for creating a new connectivity template.

FIG. 6 is a diagram illustrating an embodiment of a user interface for selecting connectivity templates to apply.

FIG. 7 is a diagram illustrating an embodiment of a user interface for applying connectivity templates.

FIG. 8 is a diagram illustrating an embodiment of a node and an edge that may be included in a graph model.

FIG. 9A is a diagram illustrating an embodiment of network devices.

FIG. 9B is a diagram illustrating an embodiment of a portion of a graph model.

FIGS. 9C and 9D are examples of triggering patterns.

FIG. 10 shows an example of a model schema (e.g., in Python format) for a graph model.

FIG. 11 is a flowchart illustrating an embodiment of a process for validating an existing computer network.

FIG. 12 is a flowchart illustrating an embodiment of a process for automatically configuring a computing infrastructure using a graph model.

FIG. 13 is a flow diagram illustrating an embodiment of a process for invoking callback functions.

FIG. 14 is a flowchart illustrating an embodiment of an agent creation flow.

FIG. 15 is a flow diagram illustrating an embodiment of a process to detect and respond to an anomaly.

FIG. 16 is a flowchart illustrating an embodiment of a process for generating a verification model.

FIG. 17 is a flowchart illustrating an embodiment of a process for detecting status parameters.

FIG. 18 is a flowchart illustrating an embodiment of a process for analyzing verification reports.

DETAILED DESCRIPTION

The invention can be implemented in numerous ways, including as a process; an apparatus; a system; a composition of matter; a computer program product embodied on a computer readable storage medium; and/or a processor, such as a processor configured to execute instructions stored on and/or provided by a memory coupled to the processor. In this specification, these implementations, or any other form that the invention may take, may be referred to as techniques. In general, the order of the steps of disclosed processes may be altered within the scope of the invention. Unless stated otherwise, a component such as a processor or a memory described as being configured to perform a task may be implemented as a general component that is temporarily configured to perform the task at a given time or a specific component that is manufactured to perform the task. As used herein, the term ‘processor’ refers to one or more devices, circuits, and/or processing cores configured to process data, such as computer program instructions.

A detailed description of one or more embodiments of the invention is provided below along with accompanying figures that illustrate the principles of the invention. The invention is described in connection with such embodiments, but the invention is not limited to any embodiment. The scope of the invention is limited only by the claims and the invention encompasses numerous alternatives, modifications and equivalents. Numerous specific details are set forth in the following description in order to provide a thorough understanding of the invention. These details are provided for the purpose of example and the invention may be practiced according to the claims without some or all of these specific details. For the purpose of clarity, technical material that is known in the technical fields related to the invention has not been described in detail so that the invention is not unnecessarily obscured.

In some embodiments, one or more connectivity templates are utilized to configure a network. For example, rather than configuring every individual ports between network devices in a network, a same connectivity template is able to be applied to multiple different application points of devices that are to have similar connectivity requirements. Based on where a connectivity template is being applied, the configuration/functionality specified by the template is automatically adopted to the specific appropriate application point to implement a version implementation of the template configuration/functionality for the specific application point. For example, a user applies a connectivity template that enables Border Gateway Protocol (BGP) communication to an application point of a device, and it is automatically implemented everywhere needed to enable correct behavior of the BGP application. Thus a user is able to achieve a desired application model specified by the connectivity template by applying the template to the application point of a network device. This allows a network device to be initially modeled as a generic device without needing to model it as a specific type of device (e.g., no need to define it as a network switch, firewall, load balancer, server, etc.) and allows the functionalities/configuration of templates being applied to application points of the device to define how the device is to function.

Rather than worrying about rigid functionality of a network device that has been typed as a specific device, a user is able to apply templates of functionalities to the connections of the generic device without needing to adhere to specific rigid network designs. This frees the user from industry standard reference network designs and allows the user to easily implement customized designs without repetitive manual custom configurations. For example, a reference network design may limit configurations based on roles of devices by not allowing a routing session to be established with a server type device because it is to be done with an external router type device. However, a user is able to achieve this using a connectivity template applied to a generically typed device (e.g., a virtualized external router is running on the server).

Additionally, intent behind an application of a specific application point is automatically determined and related administration and management functionality is automatically performed based on the intent. For example, telemetry and verification are automatically configured to automatically verify configuration and monitor any errors.

In some embodiments, a connectivity template is defined using one or more primitives, where each primitive is an atomic network operation (e.g., creation of L2 interface, assignment of IP address, etc.) that can be stacked/utilized together based on networking principles. Each primitive performs a lower level action (e.g., single atomic operation) on a networking device (e.g., create a subinterface on a port). For example, the lower level primitives are stacked/utilized to build the higher level connectivity template. Constraints may be enforced during template creation on how a set primitive can be structured/stacked together based on networking principles. For example, each primitive is of a type that is applicable only on specific types of targets (example of targets: a port, a Virtual routing and forwarding (VRF), a Routing Instance, etc.) to restrict the use/stacking of primitives to what is allowable in networking principles. In an example, a subinterface type of primitive can only be applied on a network port. Additionally, a user can create new a connectivity template based on one or more existing connectivity templates in order to reuse and augment an already defined stack of primitives.

In some embodiments, an identification of a connectivity template to be applied to a design of a computer network is received. For example, a provided connectivity template or a custom built connectivity template is selected for application in a network design by a user. An example of the design of a computer network is a specification of physical connections between physical devices of a computer network that is to be configured with software layers to enable the computer network. The design of the network is automatically analyzed to identify eligible application points in the design of the network where the connectivity template can be applied. For example, certain connectivity templates may only be applicable to certain types of application points, and based on the specific configuration/functionality of the connectivity template, places in the design of a computer network where the connectivity template is eligible to be applied are identified. By indicating the constraint of where a specific connectivity template can be applied, risk or error is reduced and ease of usability is increased. A specification of one or more specific ones of the identified eligible application points where the connectivity template is to be applied is received, and the connectivity template is applied to the specified specific ones of the identified eligible application points to configure the computer network for deployment.

In various embodiments, connectivity templates are utilized in a context of intent-based networking. Computer networks, which may also be referred to herein as computing networks, networks, computing infrastructure, infrastructure, etc., (e.g., those associated with enterprise data center infrastructures) are becoming increasingly complex and the need for tools to efficiently manage computer networks is of paramount importance. Intent-based networking (IBN) has been recognized by many as an effective way to comprehensively manage computing infrastructure. IBN solutions typically involve provisioning a computer network with a set of IBN tools (e.g., management server 102 of FIG. 1) and subsequently managing the full life cycle of the computer network using the same IBN tools. In some embodiments, at least a portion of a network can be established and/or managed via provided intent that can be specified as declarative requirements. For example, declarative requirements express a desired configuration of network components without specifying an exact native device configuration and control flow. By utilizing declarative requirements, what should be accomplished may be specified rather than how it should be accomplished. Declarative requirements may be contrasted with imperative instructions that describe the exact device configuration syntax and control flow to achieve the configuration. By utilizing declarative requirements rather than imperative instructions, a user and/or user system is relieved of the burden of determining the exact device configurations required to achieve a desired result of the user/system. For example, it is often difficult and burdensome to specify and manage exact imperative instructions to configure each device of a network when various different types of devices from different vendors are utilized. The types and kinds of devices of the network may dynamically change as new devices are added and device failures occur. Managing various different types of devices from different vendors with different configuration protocols, syntax, and software versions to configure a cohesive network of devices is often difficult to achieve. Thus, by only requiring a user/system to specify declarative requirements that specify a desired result applicable across various different types of devices, management and configuration of the network devices becomes more efficient.

FIG. 1 is a diagram illustrating an embodiment of a network management environment. Management server 102 is connected to data store 104, network device 106, and network device 108 via network 110. In some embodiments, management server 102 provides intent-based network (IBN) tools. In some embodiments, management server 102 provides a network configuration, monitoring, and management solutions. For example, a user may utilize a solution at least in part provided by management server 102 to set up a network configuration, set up a network device, calculate operational state expectations, monitor performance or operational state of a network, monitor devices of a network, automate tasks, and otherwise perform management of devices of the network. In the example shown, management server 102 is utilized to manage at least network device 106 and network device 108. Management server 102 processes/executes agents (e.g., agents performing functions triggered when a portion of a graph representation matches a specified triggering graph representation pattern of a corresponding agent). In some embodiments, management server 102 is specialized custom hardware. In some embodiments, management server 102 is utilized to configure hardware network switches.

In some embodiments, management server 102 facilitates interactions with users to receive and provide desired requirements, specifications, and status updates. For example, a user utilizes a user interface (e.g., web interface, application interface, command line interface, graphical interface, application programming interface (API), configuration file interface, etc.) provided directly and/or remotely (e.g., via display, wired connection, network, etc.). In some embodiments, a user interacts with management server 102 to provide specifications and applications of connectivity templates. In some embodiments, using the user interface, a user may at least in part provide high level requirements that specify a desired configuration of a desired network/device and/or receive information regarding status of devices/components of the desired network and/or an implementation status regarding the desired configuration requirements. In some embodiments, management server 102 selects processing agents among a plurality of processing agents (e.g., triggered by patterns matching at least a portion of a graph representation) to achieve/complete a desired network requirement. In some embodiments, agents are accessed by a user via an API (e.g., RESTful API). For example, HTTP methods (e.g., GET, PUT, POST, DELETE, etc.) may be utilized to access and manage information via the API. URIs may be utilized to reference state and resources. The declarative requirements may be specified at one or more selected stages/levels among a plurality of stages/levels. In some embodiments, a user specifies one or more constraints (e.g., resources, policies, etc.) of a desired network configuration.

In some embodiments, at least a portion of a computing infrastructure to implement the declarative requirements is represented as a graph model/representation of computing infrastructure elements including computing infrastructure nodes and computing infrastructure edges. Examples of data associated with each node of the graph representation include: an identifier, a node type (e.g., server, switch, interface, rule, policy, etc.), a descriptive label (e.g., description of node), a tag, and other properties (e.g., one or more key value pairs). Examples of data associated with each edge of the graph representation include: an identifier, an edge type (e.g., hosted interfaces, hosted on, etc.), a source node connected by an edge, a target node connected by an edge, a descriptive label (e.g., description of edge), a tag, and other properties (e.g., one or more key value pairs).

When a change in the graph representation of computing infrastructure elements is detected, it is determined whether the change affects any triggering graph representation pattern. In the event the change affects the triggering pattern, the change is notified to a processing agent associated with the affected triggering pattern. For example, processing agents may be declaratively authored with a set of one or more triggering patterns with associated callback functions. The function of each agent may perform portions of the processing required to generate configurations and deploy the computing infrastructure. For example, the callback functions of various agents may perform semantic validation, gather telemetry and execution data, and/or detect anomalies during execution. In various embodiments, callback functions include code to be executed. This paradigm may support any programming language to be used for authoring callback functions.

In various embodiments, the system invokes the callback of an agent anytime the graph representation elements' corresponding triggering pattern of the agent is ‘added,’ ‘updated,’ and/or ‘removed’ in the associated portion of the graph representation. Thus, each agent can deal with a subset of a graph model/representation that is relevant to its own objectives and would not get invoked for changes not relevant to it. In various embodiments, each processing agent focuses only on the parts of the graph representation relevant to the business logic it implements. Agents need not keep track of all changes to the graph and would only need to re-execute parts of its business logic based on incremental changes in the graph representation portion of interest. By having all processing related to the computing infrastructure implemented as agents of the graph model, the computing infrastructure can be optimized and scaled independently of any complex central processing given the decentralization of the processing agents.

The agents thus coded in the above fashion can incrementally perform their duties. In some embodiments, on startup, agent(s) evaluate their inputs and outputs and perform initial processing to ensure that inputs and outputs satisfy constraints defined in their business logic. This initial processing may involve processing multiple components of the graph representation matching the agent(s)′ defined triggering patterns. After initial start-up processing, the agent(s) have reached a steady state. In the steady state, the agent(s) may choose to only react to incremental changes to the graph representation that are relevant to their business logic and perform incremental processing on such changes on top of the steady state.

In some embodiments, a triggering pattern of a processing agent specifies identifiers of graph representation elements that describe at least a portion of a graph representation of interest, and when the triggering pattern matches a portion of the graph representation of interest or no longer matches a previously matched portion of the graph representation, the associated processing function is executed. The invoked function of the agent may be provided pointers to the graph representation elements included in the matching portion to allow the invoked function to utilize/modify the associated graph representation elements. In some embodiments, an API is provided to allow modification and use of the graph representation via the API. Execution of the API invokes one or more associated agents to perform the necessary processing required to achieve the desired result of the API invocation. In some embodiments, telemetry data collected during use and execution of the computing infrastructure is mapped to corresponding graph representation elements to provide (e.g., visually) a representation of the telemetry data in the graph representation format.

This paradigm may support any programming language to be used for authoring agents. Code execution is efficient because each piece of code can be explicitly associated with only a portion of the graph representation of interest (e.g., small portion) and is only invoked when necessary. The agents are also modular because each agent can have any number of rules, each with a callback function, thereby cleanly separating the code along the boundaries of triggering patterns. It is also scalable because there can be multiple agent instances and multiple systems to dispatch changes to interested agents. This enables a real-time state (e.g., not message) based published/subscribed communication mechanism implemented on top of graph-based live queries, therefore enabling reacting to incremental graph changes and triggering incremental processing. The asynchronous, reactive capability of the system allows the system to scale. Support for new features offered by modern infrastructure platforms may be easily added (e.g. by adding new agents). In some embodiments, components of the system communicate in reaction to a change in intent.

Management server 102 implements and manages various graph representation processing agents. In some embodiments, agents provide device requirement instructions to and receive status information from various devices of a network being managed. For example, using desired network requirements, agents may determine individual device requirements to implement the desired network requirements. In some embodiments, in translating the desired network requirements to the device requirements, a plurality of different successive processing stages/levels may be utilized. The network requirements may be specified for any of the different processing stage levels. For example, network requirements may be specified at the most general and highest level and/or at a lower and more specific stage/level. Each processing stage/level may translate an input declarative requirement to an output declarative requirement that may be utilized as the input declarative requirement for the next subsequent lower processing stage/level. For each processing stage/level, agents may merge an input declarative requirement with one or more constraints (e.g., resources available, policies to follow, etc.) to determine the output declarative requirement. By being able to provide desired declarative network requirements of any selected stage/level of a plurality of different processing stages/levels, a user is given the option to tune the level/amount of control desired by the user in configuring the network. For example, a network administrator who desires to quickly set up a default configuration network may specify declarative requirements at the highest stage/level while a network administrator who desires to set up a more customized and specific network may specify declarative requirements at a lower stage/level. In some embodiments, each processing stage/level performs a different function. For example, one processing stage/level may determine a logical connectivity in its output declarative requirements, another processing stage/level may determine physical connectivity in its output declarative requirements, and another processing stage/level may determine a cabling diagram in its output declarative requirements.

In various embodiments, any number of agents may exist. Each agent may perform the same and/or different functions that may be triggered by one or more associated triggering patterns. In some embodiments, agent(s) coordinate and perform verification that a service is functioning. For example, the desired configuration of a desired network/device service that has been received may be utilized to generate one or more device verification models for one or more devices that are utilized. Each device verification model may identify one or more parameters to be verified/detected for the specific device of the verification model. The device verification model is different from device requirements provided to a device to implement the device requirements to configure the device. For example, device requirements are provided to configure/set up a device to provide service whereas the device verification model is provided to verify a status and/or configuration of the service. In some embodiments, in response to the device verification model, a status report is received from the corresponding device that identifies status of the one or more parameters identified in the verification model. An agent may then aggregate and analyze one or more status reports to determine whether the service has been properly implemented/configured and/or is properly functioning.

Various processing agents may perform processing to create, implement, verify, and/or modify the graph representation. Each agent is associated with one or more triggering graph representation patterns that will trigger the associated agent and when the graph representation is created or modified due to the initial specification and/or as a result of processing by another agent that modifies the graph representation, it is determined whether the change affects any triggering pattern. In the event the change affects the triggering pattern, the change is notified to a processing agent associated with the affected triggering pattern. For example, processing agents may be declaratively authored with a set of one or more rules with associated callbacks. The callback function and business logic function of each agent may perform portions of the processing required to generate configurations and deploy the computing infrastructure. For example, the callback functions of various agents may perform semantic validation, gather telemetry and execution data, and/or detect anomalies during execution.

In some embodiments, the agents together in effect analyze a desired network configuration and determine and identify devices that will be utilized to implement the desired network configuration of received network requirements. Suppose L3 Clos network requirements specify the number of spine network switch devices to be 6 and the number of leaf network switch devices to be 32. In total, the agents will determine and identify 38 devices that will need to be configured to implement the desired Clos network. For each of the devices that are to be utilized, the agents would determine the individual device requirements in implementing the desired Clos network. For the L3 Clos network example, below is one example of device requirements for one of the 38 different device requirements.

-   -   Role=spine     -   IP address=10.0.0.3     -   ASN=1000     -   Neighbors=[(Leaf-1, 10.0.0.7, 1010), (Leaf-2, 10.0.0.15, 1011),         . . . (Leaf-32, 10.0.0.176), 1042]     -   Status=defined         The above device requirements specify that in a Clos network,         one network switch device is to be a spine switch with a BGP         router identifier defined as IP address 10.0.0.3 and ASN 1000.         The leaf switches connected to this spine switch device have         been also identified, as well as their IPs and ASNs.

In some embodiments, agents are configurable/customizable. For example, a user may modify, extend, and/or configure triggering patterns and/or callback function processing performed by the agents. The agents may be configurable/customizable via an interface such as an API.

In the example shown, one or more processing agents executed by network device 106 receive device requirements for network device 106, and one or more processing agents executed by network device 108 receive device requirements for network device 108. Each of these agents may generate and/or implement/execute native hardware instructions implementing device requirements to configure its associated individual network device.

In some embodiments, an agent hosted by network device 106 receives a device verification model for network device 106 and an agent hosted by network device 108 receives a device verification model for network device 108. Each of these agents may determine one or more status parameters to be reported to verify the corresponding device verification model and gather/detect the determined status parameters. Then each agent may provide a status report of the gathered/detected status parameters to another agent that is handling the verification of the service being provided. In some embodiments, each agent reports information about a status, an operation, and/or other information of its associated device(s). A different agent may then collect and process the reported information to report the information and/or to perform a responsive action. For example, when an agent provides a status update that its associated device is overloaded, another agent (e.g., hosted by management server 102) may add a new device to a network to offload processing and/or to move a processing task of the overloaded device to another network device. The collected status information may be provided by an agent as a report and/or a request for action.

In various embodiments, data store 104 stores the data of the graph model/representation. Data store 104 may be included in a networked storage service. In the example shown, agents access data store 104 via network 110. In some embodiments, data store 104 is connected to management server 102 via a non-shared connection. In various embodiments, data store 104 is included in any of the components shown in FIG. 1. For example, data store 104 may be included in management server 102. Data store 104 may include a server that manages data stored in data store 104. Examples of data store 104 include a database, a highly available storage, a distributed storage, a cloud storage, a data service, or any other type of data storage.

Network device 106 and network device 108 may be any type of device connected to network 110. Examples of network device 106 and network device 108 include a server, a network switch, a network router, a cache server, a storage device, a hypervisor switch, a virtual router, a load balancer, a firewall, a network fabric device, a virtual network device, a software device, a software component, or any type of computer or networking device that may be physical or virtual. In various embodiments, the shown agents are software and/or hardware components included in corresponding components. Examples of network 110 include one or more of the following: a direct or indirect physical communication connection, a mobile communication network, the Internet, an intranet, a Local Area Network, a Wide Area Network, a Storage Area Network, and any other form of connecting two or more systems, components, or storage devices together. Other communication paths may exist and the example of FIG. 1 has been simplified to illustrate the example clearly.

Although single instances of many of the components shown in FIG. 1 have been shown to simplify the diagram, additional instances of any of the components shown in FIG. 1 may exist. For example, any number of management servers, storages, and network devices may exist. Management server 102 may be a cluster of servers and storage 104 may be a distributed storage. Any number of agents may exist. A single server/device may include any number of agents. Although the example shown in FIG. 1 shows each agent included/installed in its respective associated system components, the agents may be included in different servers/devices. For example, a single agent may be assigned to processing across a plurality of network devices. Components not shown in FIG. 1 may also exist. In some embodiments, each resource (e.g., each agent, server, and network device) of FIG. 1 may belong to a domain. For example, resources belonging to the same domain are interoperable and may function together to perform a network configuration and/or management task. In some embodiments, each resource may only belong to one domain and only resources within the same domain are guaranteed to be interoperable to perform a network configuration and/or management task. Certain resources may belong to a plurality of domains. A plurality of domains may be utilized to manage a single network. The components shown in FIG. 1 may be components of one or more domains. Any of the components shown in FIG. 1 may be a physical or a virtual component.

FIG. 2 is a diagram illustrating an embodiment of a management server. Management server 200 may be used to implement management server 102 of FIG. 1. In the example shown, management server 200 comprises agent manager 202 and agents 204, 206, and 208. In various embodiments, a management server comprises 60, 200, 1000, or any appropriate number of agents. An agent may comprise a triggering pattern and a corresponding callback function to be called in the event the triggering pattern is present. As shown, agent 208 is associated with triggering pattern 210 and callback function 212.

In some embodiments, a central software component such as agent manager 202 is used to track all changes to a network configuration by tracking changes to a graph representation of the network configuration, wherein the graph representation accurately represents a real-time state of a network. In some embodiments, agent manager 202 comprises a query engine. As shown, agent manager 202 receives inputs from distributed data store 214. In some embodiments, the graph representation of the network configuration is stored in distributed data store 214. Inputs may comprise a current network configuration graph (e.g., graph representation of the network configuration). In some embodiments, agent manager 202 compares a current state of the network configuration graph to a previous state of the network configuration graph to determine changes in the graph. In some embodiments, agent manager 202 detect portions of the graph representation that affect triggering patterns or agents. In the event a network configuration graph has changed, agent manager 202 may notify only relevant agents of the change. In various embodiments, relevant agents are determined based on their triggering patterns (e.g., whether a change in the graph affects a triggering pattern of an agent). For example, a “publish-subscribe” model may be utilized wherein an agent is subscribed to changes in the graph that affect a triggering pattern associated with the agent. In some embodiments, agents are invoked based on triggering patterns in lieu of a central change logging component.

Various actions may be required to be performed based on the network configuration graph. In various embodiments, changes in the graph cause a state to be collected from a device, a link to be deleted, a node to be created, or any other appropriate action. The actions may be performed via callback functions. In some embodiments, a query of a specific triggering pattern is run one time. After a triggering pattern is specified, an associated agent may only be notified of a change in the graph in the event its triggering pattern is matched in the graph model. In some embodiments, the live querying and graph representation allow the system to be robust and scalable. In some embodiments, the framework of the system is not changed; agents, nodes, or edges are added to implement new features.

In the example shown, agents provide input to distributed data store 214. The agents may cause changes to the network configuration when associated callback functions are invoked. The changes may be stored in the network configuration graph. In some embodiments, agents update the graph representation, if applicable, based on processing results of the agent callback functions.

FIG. 3 is a flowchart illustrating an embodiment of a process for applying a connectivity template to configure a computer network. The process of FIG. 3 may be performed by management server 102 of FIG. 1 and/or management server 200 of FIG. 2.

At 302, a specification of a physical design of a computer network is received. The physical design of the computer network specifies physical connections between one or more physical network devices (e.g., network pod, rack, spine node, leaf node (e.g., router, switch, server, firewall, load balancer, etc.) and interfaces and subinterfaces of devices, etc.). In some embodiments, the physical design specifies that at least one of the network devices included in the design is a generic type device. This allows a network device to be initially modeled as a generic device without needing to specify or configure it as a specific type of device (e.g., no need to define it as a network switch, firewall, load balancer, server, etc.) and allows the functionalities/configuration of templates being applied to application points of the device to define how the device is to function. In some embodiments, a graphical user interface is utilized by a user to instantiate user interface objects that represent network devices that are connected by specified lines that represent connections between the corresponding network devices. In some embodiments, the specification of the physical design of the computer network is represented using a graph model/representation of computing infrastructure elements including nodes that represent physical devices and edges between nodes that represent connections between the physical devices.

In some embodiments, the specification of the physical design of the computer network is generated at least in part automatically. For example, a user provides a declarative requirement and/or an identification of a reference network design and the intent and/or identification of the reference design is automatically translated into the specification of the physical design of the computer network.

Although the specification of the physical design of the computer network identifies the existence of physical devices and the physical connections between them, the devices need to be configured to enable routing and other network functionality to establish/enable the desired functional computer network. End-point templates can be utilized to specify at least a portion of these configurations to build the desired network stack.

At 304, a specification of a connectivity template is received. The connectivity template allows a user to specify a desired configuration to be applied to any future application point, and the template can be reapplied to any number of eligible application points to implement the desired configuration on the target application points. For example, the same template can be applied to multiple application points to attach them to the same virtual network. Thus, rather than individually performing repeat configurations of the same configuration for many different application points, the configuration can be specified once and simply applied to all of the different application points. Examples of the application points where a connectivity template can be applied include any communication property of a connection between two devices. Specific examples of the application points include a port, a port channel, a device port, a device port channel, a subinterface, a routing instance, a routing/security zone instance, or any Internet Protocol (IP) interface (e.g., any IP of an interface, a Switched Virtual Interface (SVI) IP, a loopback IP, etc.). The configurations that can be specified in the connectivity template for application include any configuration to establish, define, manage, or modify any property of the application point. Specific examples of a connectivity template include templates to: create a sub interface, establish an IP address, add to a specified virtual network, establish a routing instance, add a routing policy, establish a new static route, enable Bridge Protocol Data Unit guard, enable PortFast, etc.

In some embodiments, a connectivity template is specified using one or more primitives, where each primitive is an atomic network operation (e.g., creation of L2 interface, assignment of IP address, etc.) that can be stacked/utilized together based on networking principles. Each primitive performs a lower level action (e.g., single atomic operation) on a networking device (e.g., create a subinterface on a port). For example, the lower level primitives are stacked/utilized to build the higher level connectivity template. Constraints may be enforced during template creation on how a set primitive can be structured/stacked together based on networking principles. For example, each primitive is of a type that is applicable only on specific types of targets (example of targets: a port, a Virtual routing and forwarding (VRF), a Routing Instance, etc.) to restrict the use/stacking of primitives to what is allowable in networking principles. In an example, a subinterface type of primitive can only be applied on a network port. Additionally, a user can create new a connectivity template based on one or more existing connectivity templates in order to reuse and augment an already defined stack of primitives.

A connectivity template can be selected from a library of provided connectivity templates. For example, a user is provided a built-in library of connectivity templates and the user is able to select a template from the library for application. A connectivity template can be custom built by a user. For example, a user creates a new connectivity template by specifying the configuration to be performed when the template is applied. A new connectivity template can be built using one or more already existing connectivity templates to allow reuse and augment already built stacks of primitives of the existing connectivity templates. For example, a user creates a new connectivity template that specifies use of one or more already existing connectivity templates (e.g., a user connects together instances of existing connectivity templates to create a new connectivity template). In one specific example, a user can build a virtual machine hypervisor configuration template that includes multiple instances of existing templates to attach to various different virtual networks. To allow generalization flexibility of a connectivity template, the template can be specified to request one or more configuration parameter user inputs when it is created, configured and/or applied. For example, specific parameters (e.g., VLAN ID, IP address, etc.) for the configuration to be applied by the template can be requested from the user based on the context and/or where the template is being applied. In some embodiments, one or more tags can be associated with a connectivity template, and when the template is applied to an application point, the application point is tagged with the one or more tags of the connectivity template. These tags can be later used to label, classify, filter, describe and/or search the application point.

In some embodiments, the connectivity template requests one or more configuration parameter user inputs when it is created, configured, and/or applied. For example, specific parameters (e.g., VLAN ID, IP address, etc.) for the configuration to be applied by the template can be requested from the user based on the context and/or where the template is being applied.

An example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is a subinterface creation template. This template can be only applied to application points that are device ports or device port channels. When applied, this template requests a user input of a VLAN identifier (e.g., a value from 1 to 4094) and a routing/security zone. For the applied application point, a subinterface is created with the specified VLAN identifier in the specified routing/security zone. Verification is automatically performed to validate that there is no other existing subinterface with the same VLAN identifier.

Another example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is an IP interface creation template. This template can be only applied to application points that are device ports or device port channels. When applied, this template requests a user input of a type (e.g., allows user to select IPv4 network, IPv6 network, IPv6 link local, or IPv4 un-numbered (from loopback)), a prefix length (e.g., an IP prefix/mask with maximum length depending on the type selected), allocation scheme (e.g., required for IPv4 network and IPv6 network types) to allow a user to select between “manual” or “from available resource pool,” and/or IP address (e.g., required for allocation scheme manual). For the applied application point, an IP address is allocated to the applied interface (e.g., the specific IP address+prefix specified in the template or one free IP address+prefix automatically determined from generic system link pools). Verification is automatically performed to validate that the newly allocated IP prefix does not overlap with any other IP prefix defined in the same routing/security zone. In some embodiments, this template supports customer resource groups.

Another example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is a virtual network membership template. This template can be only applied to application points that are device ports or device port channels. When applied, this template requests a user input of an identification of one or more virtual networks where the application point is to be added (e.g., all are tagged by default but one maximum virtual network can be untagged). For example, a list of existing virtual networks is provided along with corresponding descriptions and VLAN identifiers (e.g., for local VLAN type) and/or a user can search for a desired virtual network by name or identifier (e.g., specific number or range) to select the desired virtual network(s). The applied application point is added to the desired virtual network(s). Verification is automatically performed to determine whether this connectivity template conflicts with another connectivity template that may have been already applied on the application point (e.g., only one untagged virtual network per application point port).

Another example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is a routing instance template. This template can be only applied to any Internet Protocol (IP) interface (e.g., any IP of an interface, a Switched Virtual Interface (SVI) IP, a loopback IP, etc.). When applied, this template requests a user input of an identification of whether a Border Gateway Protocol (BGP) or Open Shortest Path First (OSPF) protocol is to be utilized for the routing instance to be established. If based on the protocol selected, additional configuration is requested from the user. For example, if BGP is selected, the user chooses between BGP unnumbered, BGP P2P+remote Autonomous System Number (ASN) and peer address (the user can also select an external router where the ASN and loopback are defined), or BGP from Switch Virtual Interfaces (SVI)/Loopback+remote ASN and peer. The user is able to also choose between IPv4, IPv6, or IPv4+IPv6 family types. For the applied application point, appropriate verification is automatically performed and the specified routing instance is established.

Another example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is a routing policy template. This template can be only applied to application points that have a routing instance. When applied, this template requests a user input of the routing policy to be applied. For the applied application point, appropriate verification is automatically performed and the specified routing policy is established.

Another example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is a static route template. This template can be only applied to application points that have a routing/security zone instance. When applied, this template requests a user input of an IP prefix and the next-hop. For the applied application point, appropriate verification is automatically performed and the specified static route is established.

Another example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is a BPDUGuard template. This template can be only applied to application points that are device ports or device port channels. No user input is required for this template. For the applied application point, appropriate verification is automatically performed and the Bridge Protocol Data Unit guard is enabled.

Another example of the primitive (e.g., available for direct use as a connectivity template or use as a component template to build a new connectivity template) is a PortFast template. This template can be only applied to application points that are device ports or device port channels. No user input is required for this template. For the applied application point, appropriate verification is automatically performed and the PortFast is enabled.

At 306, an indication of an application of the connectivity template on the physical design of the computer network is received, and the indicated application is implemented. A user indicates where the connectivity template is to be applied to on the physical design of the computer network. For example, via a graphical user interface, the user selects one or more devices and/or application points of the devices in the design where the connection is to be applied. Different connectivity templates can be applied to only certain different types of application points. For example, based on the configuration/functionality of the connectivity template, it can be only applied to certain types of application points and cannot be applied to other types of application points. In some embodiments, a user interface automatically indicates objects/locations in the physical design of the computer network where the connectivity template is eligible to be applied to prevent a user from applying the template to a not applicable application point. The connectivity template may be one of a plurality of connectivity templates being applied to various parts of the design of the computer network. More than one connectivity template may be applied to the same application point. In some embodiments, if the connectivity templates being applied to the same application point conflict with one another, an error message is provided and/or a user is automatically prevented from applying the subsequent connectivity template to the same application point that would cause the conflict. When the application point is applied to an entire device in the network design, the connectivity template is applied to all of the application points of the device that are able to be configured by the connectivity template.

When the connectivity template is applied to a corresponding application point, properties of the application point are established, defined, managed, and/or modified based on the configuration specified by the template. The connectivity template dynamically adapts to the type, network location, context, and/or any other existing property of the application point where the connectivity template is being applied. For example, the changes made by the connectivity template may be dynamically made based on the type, network location, context, and/or any other existing property of the application point where the connectivity template is being applied.

In some embodiments, when appropriate, an intent of application of the connectivity template is automatically determined for use in intent-based networking. For example, an intention of an application of a connectivity template is automatically determined based on which connectivity template is applied to which application point. Rules, analytics, and/or machine learning models may be utilized to determine the intent (e.g., declarative requirements) associated with the template application based on the type and/or other properties of the template and network property, context, other applied templates, or assigned tag(s) or other properties of the application point where the template is being applied. Based on this intent, additional configurations beyond ones explicitly specified in the template are able to be applied to achieve the desired intent. Thus related administration and management functionality can be automatically performed based on the intent. For example, configuration needed to collect appropriate telemetry data from appropriate devices/data sources are automatically implemented to automatically verify/monitor the implementation and functioning of the intent of the application of the connectivity template.

In some embodiments, determining the intent includes using and/or building an intent-based network model as a graph representation (e.g., see FIGS. 8-10). In some embodiments, template configuration information may be transferred to the graph representation to complete the graph representation at the appropriate location in the graph representation. For example, the nodes and edges in the graph representation shown in FIG. 8 comprise multiple attributes, such as labels and various properties, and these attributes corresponding to the application point where the application point is being applied are utilized to determine the intent and/or added/modified based on the connectivity template.

At 308, a change to the applied connectivity template or a change to an application point where the connectivity template has been applied is detected and in response, the configuration of the computer network is automatically updated using the applied connectivity template.

In some embodiments, when an existing connectivity template is modified, instances where the connectivity template was applied are updated to implement the new modification. This allows primitives that have applied in multiples to be centrally managed at the template level. For example, a user is able to make a change to an existing connectivity template and the change is automatically implemented at the application points where the template was previously applied. This allows the user change to be automatically propagated without requiring the user to reapply the change template to all of the appropriate application points. In one specific example, for a routing policy with a list of route maps and route import/export rules that are common across multiple different BGP peers, it can be defined once in a connectivity template and applied to multiple routing instances and centrally managed via the template.

In some embodiments, when the underlying network or an application point where the template has been applied is modified, the configurations that were previously made based on the application of the connectivity template are automatically updated based on the modification of the underlying target application point. For example, when an application point is moved from one network location context to another network location context, the connectivity template(s) that have been applied to the application point automatically adapt to the new network location context by reconfiguring the application point to apply to the template(s) for the new network location context. In one specific example, applied connectivity template(s) automatically adapt a move from a local VLAN to a newly established VXLAN.

An example of the connectivity template is one that enables a BGP peering session towards a floating IP address. This template enables the applied application point of the network fabric to automatically adapt to the floating IP address (e.g., migrates to a different network rack) without needing to perform a manual network fabric update, allowing a virtual machine server to move between different switches across the network without a manual reconfiguration. For example, this template specifies a BGP relationship with a floating/moving endpoint. When the move of the endpoint to a new switch is detected (e.g., via information from a VM hypervisor), reconfiguration is automatically performed, including a change of telemetry data source to a new switch. This may be enabled by applying the routing instance and routing policy of the template to a virtual network Switch Virtual Interfaces (SVI) IP address that exists on multiple devices (e.g., rationalize where it should be applied and determine that it exists in multiple targets) and a BGP session is provisioned on the multiple devices while only keeping one active at a time (e.g., as specified by the hypervisor manager).

FIG. 4 is a flowchart illustrating an embodiment of a process for applying a connectivity template. At least a portion of FIG. 4 is performed in 306 of the process of FIG. 3.

At 402, a selection of one or more connectivity templates to be applied to a design of a computer network is received. In some embodiments, a library of one or more available connectivity templates is provided, and a user selects in the library one or more connectivity templates to be applied to the design of the computer network. For example, the user checks a selection box next to a connectivity template to be applied to the design of the network. The user is also able to create new connectivity templates, modify any existing connectivity templates, or clone an existing connectivity templates for further customization.

At 404, the design of the network is analyzed to determine eligible application points in the design of the network where each of the one or more connectivity templates can be applied. For example, the design of the network including physical devices and connections between the devices has been already specified (e.g., organized into connections of network pods that include racks, spine nodes, and leaf nodes that include interfaces and subinterfaces) and eligible application points in this physical design of the network where the selected connectivity templates can be applied are automatically determined for each of the selected templates to be applied. A connectivity template is often only eligible to be applied to only certain types of application points. For example, based on the configuration/functionality of the connectivity template, it can be only applied to certain types of application points and cannot be applied to other types of application points. To prevent a user from applying a connectivity template to an application point that is not eligible, all of the possible application points in the design of the network where the connectivity template can be applied are predetermined to indicate the constraints before the user selects the application points for application of the template.

The types of application points where a connectivity template can be applied are determined based on specification/configuration/functionality of the connectivity template and/or component connectivity templates that make up the connectivity template. For example, if the connectivity template is made of other connectivity templates, intersection of the set of types of application points applicable for each of the component connectivity templates is determined to identify the type(s) of application points applicable for all of the component connectivity templates. Additionally intersection of types of application points applicable for any property/configuration of the connectivity template is determined to identify the type(s) of application points applicable to all of the template properties/configurations.

Once the types of application points where each of the selected connectivity templates can be applied are determined, the design of the network is searched/analyzed to identify every application point in the design of the network that matches the eligible types for each of the selected connectivity templates. Thus for each selected connectivity template to be applied, a list of every application point in the design of the network that is of any of the types that the template is eligible to be applied can be determined.

At 406, a specification of one or more of the determined eligible application points where the one or more connectivity templates are to be applied is received. In some embodiments, for each of the selected connectivity templates, a user interface provides a listing of application points that are eligible for application, and a user selects application points from the provided listing for application of the selected connectivity template. For example, the user selects a check box next to an application point if the template is to be applied to the application point.

FIG. 5 is a diagram illustrating an embodiment of a user interface for creating a new connectivity template. In some embodiments, user interface 502 shown in FIG. 5 is utilized in 304 of FIG. 3 to build the new connectivity template. User interface region 504 lists existing connectivity templates (including primitives) that are to be utilized in building the new connectivity template. When the “use” link for one of the existing connectivity templates is selected, an instance of the corresponding connectivity template is instantiated for use in the new template. User interface region 506 shows a graphical flow visualization of the component connectivity templates used to build the new template as well as their ordering of application and relationship between each other. User interface region 508 shows input fields where the user is able to input configuration parameters for the component connectivity templates.

FIG. 6 is a diagram illustrating an embodiment of a user interface for selecting connectivity templates to apply. In various embodiments, user interface 602 shown in FIG. 6 is utilized in 304 of FIG. 3 and/or 402 of FIG. 4 to indicate the connectivity template(s) to be applied. User interface 602 shows a listing of available connectivity templates (including primitives) and a user is able to check a box next to ones of the connectivity templates that the user would like to apply. Additionally, the user is also able to perform actions via the provided buttons for editing, copying, or deleting the corresponding connectivity template.

FIG. 7 is a diagram illustrating an embodiment of a user interface for applying connectivity templates. In various embodiments, user interface 702 shown in FIG. 7 is utilized in 306 of FIG. 3 and/or 406 of FIG. 4 to apply the connectivity template(s) to desired application point(s). Eligible application points in a network design where the connectivity template selected using the user interface of FIG. 6 have been determined. User interface 702 shows a hierarchical listing of elements in the network design. Additionally, for each of the selected connectivity templates selected for application (e.g., named “VLAN10” and “VLAN20”), a checkbox is shown in the row of the application point in the corresponding column of the connectivity template if the corresponding template can be applied for the corresponding application point. If no checkbox is shown, the corresponding template cannot be applied to the corresponding application point. A user can check the corresponding checkbox to apply the corresponding template to the corresponding application point. User interface 702 also shows tag(s) that have been assigned to the corresponding application points. These tag(s) can be used to search the application points as well as to determine an intent associated with an application of a connectivity template to an application point.

FIG. 8 is a diagram illustrating an embodiment of a node and an edge that may be included in a graph model. In some embodiments, a graph model of computing infrastructure is comprised entirely of nodes and edges. All nodes may share the same structure whereas edges share the same structure. In the example shown, node 800 comprises multiple attributes comprising an identifier (ID), a type, a label, tags, and properties. In some embodiments, an ID comprises a unique identifier such as a string or integer. An ID may be used to identify the node in a graph representation and distinguish it from other nodes and edges. In some embodiments, type describes an immutable type that the node is classified as. Type may be a string. In various embodiments, a node is of type server, switch, policy, rule, user, or any abstract concept. In some embodiments, label is a user-friendly caption used to identify the node. Label may be a string. For example, a node may be labeled “server3” in the event it is type server and it is the third server present in the network. In some embodiments, tag is a flexible identifier used to group network components together. For example, a tag is used by a user to encode a group that cannot be grouped based on type. A tag may be used to encode a group not available in a graph schema associated with the graph representation. A tag may be used to group together a subset of nodes of a same type, a group of edges of different types, or any combination of nodes and edges. The tag may be a user-friendly format, such as a string (e.g., “high_availability_servers”). In some embodiments, properties comprise properties of the node or data associated with the node. In some embodiments, properties comprise a key-value list of any data desired to be associated with the node. For example, properties may comprise information relating to a computer memory size or server speed. Properties may comprise telemetry data.

As shown, edge 802 comprises multiple attributes comprising an ID, a type, a label, tags, a source, a target, and properties. In some embodiments, an edge in a graph representation of a network configuration comprises the same attributes as a node in the graph representation (e.g., ID, type, label, tags, properties) with the addition of a source and target.

In some embodiments, an ID comprises a unique identifier such as a string or integer. An ID may be used to identify the edge in a graph representation and distinguish it from other nodes and edges. In some embodiments, type describes an immutable type that the edge is classified as. Type may be a string. In various embodiments, an edge is of type “link,” “interfaces,” “hosted on,” “applies to,” or any abstract concept. In some embodiments, label is a user-friendly caption used to identify the edge. Label may be a string. For example, an edge may be labeled “hosted_on” because the edge is of type “hosted on.” In some embodiments, tag is a flexible identifier used to group network components together. For example, a tag is used by a user to encode a group that cannot be grouped based on type. A tag may be used to encode a group not available in a graph schema associated with the graph representation. A tag may be used to group together a subset of edges of a same type, a group of nodes of different types, or any combination of nodes and edges. The tag may be a user-friendly format, such as a string (e.g., “open_connections”). In some embodiments, properties comprise properties of the edge or data associated with the edge. In some embodiments, properties comprise a key-value list of any data desired to be associated with the edge. For example, properties may comprise information relating to a computer memory size or server speed. Properties may comprise telemetry data.

In some embodiments, an edge is directional and represents a relationship between two nodes. In some embodiments, source refers to an edge's source/originating node and target refers to an edge's target/destination node. Source and target may consist of strings that refer to nodes in the graph representation. For example, a source and a target of an edge in a graph model may comprise IDs of nodes present in the graph model. An edge may represent a one-way relationship between two nodes. Multiple edges may exist between two nodes. For example, a switch node (e.g., node of type “switch”) may have a relationship of hosting an interface node (directional from switch node to interface node) whereas the interface node may have a relationship of “hosted_on” in regards to the switch node (directional from interface node to switch node). As shown, edge 802 is directional, wherein node 800 is its source, and its target is a node that it points to. In a network configuration graph representation, each edge may have a source and target node.

In some embodiments, not all attributes (e.g., ID, type, tag, etc.) are required to be specified in creation of a node or edge. Default attributes may be used. For example, given a source and target, an edge type may be inferred. In some embodiments, an edge type is inferred based on node types of the source and target. In some embodiments, an ID and label are randomly generated and/or automatically generated. For example, a label may be incremented to label nodes “server_1,” “server_2,” and so forth as nodes of type “server” are created. Properties may be determined based on type. A default setting for tags may comprise no tags.

In some embodiments, the graph representation allows diverse concepts to be represented with flexibility while the structure of graph elements remains static. The graph representation may allow for a robust and scalable system. For example, a node of type policy may comprise properties describing the policy as using a specific resource pool. An edge of type “policy_applies_to” with the node of type “policy” as a source and a node of type “switch” as a target represents that the policy is implemented on a switch. An agent with a triggering pattern of an edge of type “policy_applies_to” with a source node of type “policy” and a target node of type “switch” may invoke an agent that implements the policy in the event a portion of the graph representation matches the pattern of edge of type “policy_applies_to” with a source node of type “policy” and a target node of type “switch.”

In some embodiments, telemetry data collected during use and execution of the computing infrastructure is mapped to corresponding graph elements to provide (e.g., visually) a representation of the telemetry data in the graph model format. In some embodiments, properties of nodes or edges comprise telemetry data gathered from devices. For example, amount of traffic sent/received, number of errors, fan speed, temperature, number or type of control processes running, or any other appropriate operational data is stored. In some embodiments, the graph model is updated with real-time telemetry data. A user may use a query language (e.g., GraphQL) to access telemetry information or other information in the network configuration graph. In some embodiments, telemetry information is read-only. Telemetry data may be stored in a key-value format wherein a key comprises a parameter (e.g., fan speed) and a value comprises a measured parameter value (e.g., fan speed in rotations per millisecond).

The graph representation may change as the requirements change and properties associated with graph representation elements are updated. In some embodiments, a change in the graph representation is detected and it is determined whether the change affects a triggering graph representation pattern. For example, processing agents that perform processing may each be associated with one or more triggering patterns that trigger processing of the associated agent. In the event the detected change affects the triggering pattern of a processing agent, the change may be reported to the agent associated with the triggering pattern. Each agent may be associated with a triggering pattern that identifies a portion of the graph representation of interest that will trigger processing of the agent. If the graph representation includes at least a portion that matches a triggering pattern of an agent (e.g., change to declarative requirements changes the graph representation portion that matches the triggering pattern specified for an agent), a processing function of the matched agent may be invoked to allow the processing function to perform processing associated with the matched graph representation portion.

FIG. 9A is a diagram illustrating an embodiment of network devices. Two switches are shown. In some embodiments, the two switches may be connected via a cable between the two. In some embodiments, the example shown is a network configuration desired by a user. For example, the intent may specify two switches with a cable connecting the two. As shown, switch 900 is labeled “spinel” and switch 902 is labeled “leaf1.” As shown, an interface of switch 900 is labeled “Ethernet 1/1” and an interface of switch 902 is labeled “SWP.”

FIG. 9B is a diagram illustrating an embodiment of a portion of a graph model. In some embodiments, the graph model portion represents the network device configuration of FIG. 9A. Node 904 is of type “switch” and label “spinel” and represents switch 900 of FIG. 9A. Node 926 is of type “switch” and label “leaf1” and represents switch 902 of FIG. 9A.

Node 908 as shown is of type “interface” and label “Ethernet 1/1.” Edges 906 and 910 describe the relationship between the Ethernet 1/1 node (908) and spinel node (904). Edge 906 of type “hosted_interfaces” has node 904 as a source node and node 908 as a target node. Edge 910 of type “hosted_on” has node 908 as a source node and node 904 as a target node. Node 920 is of type “interface” and label “swp1.” Edges 924 and 928 describe the relationship between the leaf1 node (926) and swp1 node (920). Edge 924 of type “hosted_on” has node 920 as a source node and node 926 as a target node. Edge 928 of type “hosted_interfaces” has node 926 as a source node and node 920 as a target node.

Node 914 is of type “link” and label “SpineToLink.” The node has relationships with the interfaces of the spinel node and leaf1 node. Edges 912 and 916 describe the relationship between the Ethernet 1/1 node and the spineToLink node. Edge 912 of type “link” has node 908 as a source node and node 914 as a target node. Edge 916 of type “interfaces” has node 914 as a source node and node 908 as a target node. Edges 918 and 922 describe the relationship between the swp1 node and the spineToLink node. Edge 922 of type “link” has node 920 as a source node and node 914 as a target node. Edge 918 of type “interfaces” has node 914 as a source node and node 920 as a target node.

FIG. 9C is an example of a triggering pattern. The example shows a triggering pattern expressed in a programming language (e.g., Python). In the example shown, a specific combination and order of specific nodes and edges is defined. Any appropriate programming language may be used to define a triggering pattern. In some embodiments, the example shown describes a part of the graph model portion shown in FIG. 9B. For example, “node(type=‘switch’)” at 960 describes node 904 of FIG. 9B, “.out(‘hostedinterfaces’)” at 962 describes edge 906 of FIG. 9B, and “.node(‘interface’)” at 964 describes node 908 of FIG. 9B.

The triggering pattern as shown defines outgoing relationships from left (node 904 of FIG. 9B) to right (node 926 of FIG. 9B) as shown in FIG. 9B, whereas outgoing relationships from right to left as shown in FIG. 9B are not described. For example, the triggering pattern describes only a part of the graph model portion shown in FIG. 9B. In some embodiments, an agent associated with the triggering pattern shown is invoked in the event the graph model portion shown in FIG. 9B is detected in, added to, modified in, or deleted from a graph model.

FIG. 9D is an example of a triggering pattern. In some embodiments, one or more relevant data structures are specified in the triggering pattern. The one or more relevant data structures may be specified using labels (e.g., label attributes of nodes or edges). In some embodiments, a callback function associated with the triggering pattern is called with a reference to a data structure that is specified in the triggering pattern (e.g., by label). For example, in the event a portion of a network configuration graph matches a triggering pattern of an agent, the agent may be provided a path to a specific node or edge. In some embodiments, the specific node or edge is present in the portion of the graph model that matches the triggering pattern. The agent's callback function may be called with the reference or path to the specific node or edge, allowing the function to be implemented on the specific node or edge. For example, a callback function may comprise a label in the callback function that matches a label in the triggering pattern. The label allows the callback function to execute an action on a node or edge in the graph model, wherein the node or edge in the graph model matches the labeled node or edge in the triggering pattern. The use of a graph model and the label attribute allows a reference to a data structure to be easily passed on. In some embodiments, the callback function is called with multiple references to multiple data structures.

In the example shown, the triggering pattern defines “node(type=‘switch’, label=‘local_device’)” at 980. In some embodiments, in the event a portion of the graph representation matches the triggering pattern, a node that matches the node defined at 980 is labeled as “local_device.” A callback function associated with an agent that is associated with the triggering function may be defined with “local_device” as an input. A reference to the node in the graph representation that matches the node defined at 980 may be passed to the callback function in the event the callback function is invoked.

FIG. 10 shows an example of a model schema (e.g., in Python format) for a graph model. In some embodiments, a graph model of a network has an associated graph model schema. Valid nodes, edges, and relationships between nodes and edges may be defined in the schema. For example, only nodes of a first type may be allowed to share an edge with nodes of a second type. Invalid relationships or nodes may invoke a callback function. For example, the callback function may provide an error to a user or discard the last received change in intent. The schema may be domain-specific; different schemas may exist for different network architectures.

Model schema 1000 is written in Python, but any computer language may be used to implement the model schema. The example shows a graph model schema for a typical leaf-spine network architecture. The disclosed system may treat individual design schemas as opaque and operate only at the graph meta model comprising just nodes and relationships. As shown, model schema 1000 describes allowed data types and values. As shown, 1020, 1022, 1024, and 1026 comprise allowed relationships under the schema. For example, an edge of type “composed_of” must have a source node of type “link” and a target node of type “link”; an edge of type “part_of” must have a source node of type “link” and a target node of type “link”; and an edge of type “hosted_interfaces” must have a source node of type “system” and a target node of type “interface”.

FIG. 11 is a flowchart illustrating an embodiment of a process for validating an existing computer network. In some embodiments, this process is performed by management server 102 of FIG. 1, management server 200 of FIG. 2, or management server 402 of FIG. 4. In some embodiments, at least a portion of the process of FIG. 11 is performed in 508 of FIG. 5.

At 1102, telemetry information associated with the existing computer network is received. Examples of received telemetry information include information associated with device operational status and connectivity and information populating telemetry service schemas (e.g., see FIG. 7B), such as hostname, LLDP, BGP, interface, MLAG, VLAN, VRF, and multicast details. Additional examples of received telemetry information include a list of devices, their connections, their roles, roles of ports, IP addresses, subnets, virtual networks, autonomous system numbers, etc. In various embodiments, telemetry information is collected by agents installed on network devices (e.g., network devices 106 and 108 of FIG. 1).

At 1104, constraints associated with the existing computer network are received. Examples of constraints include implicit constraints and user specified constraints. In various embodiments, implicit constraints are based on and inherent to a reference network type. For example, in an L3 Clos (leaf-spine) design (e.g., see FIG. 3A), each leaf must be connected to each spine, whereas this does not need to be the case for other reference network types. Another example of an implicit constraint is that in both L3 Clos (leaf-spine) and Layer 2 designs, virtual network subnets must be unique across the existing computer network within a given VRF domain. In various embodiments, user specified constraints are specific to a given network because they are specified by a user. For example, in an L3 Clos (leaf-spine) design, a user specified constraint could be fabric symmetry (e.g., every leaf should have the same number and/or speed of uplinks to every spine). Another example of a user specified constraint is high availability in a Layer 2 design (e.g., see the comparison of non-high availability and high availability variants of the Layer 2 design of FIG. 3B and the associated description).

At 1106, consistency of an intent-based network model of the existing computer network is evaluated against the received telemetry information and the received constraints. In some embodiments, when inferring intent, intent has some constraints (e.g., need to have certain devices with specified roles, certain device connections are set, etc.). This information may be relied upon during validation. In various embodiments, if the received telemetry indicates a violation of a received constraint, an error is raised. For example, in an L3 Clos (leaf-spine) design, if received telemetry with respect to connectivity indicates that the implicit constraint of each leaf being connected to each spine is violated, then an error would be raised. A scenario in which this happens could be if a leaf has links to only 3 out of 4 spines (e.g., due to absence of a physical cable or a faulty cable). Similarly, an error would be raised if a user specified constraint (e.g., fabric symmetry) has been violated based on the received telemetry. In some embodiments, the verification processes of FIGS. 16-18 are used to, at least in part, validate the existing computer network.

In some embodiments, the user provides information that is used for validation. This information may be provided before validation (e.g., before validation via discovery activation interface 408 of FIG. 4). In some embodiments, such information may be requested and received during validation. In some embodiments, when IP address telemetry information is collected, it is not possible to determine from just the IP addresses if they are in a correct range, correct subnet, etc. Thus, the user may need to supply this information as part of validation. For example, when overlapping IP address spaces are detected via telemetry, the IP addresses are potentially incorrect, but may be correct depending on user intent (e.g., when isolating to separate domains, IP addresses might need to be re-used). For IP addresses, a user specified constraint may be that all fabric links be in a specified subnet. With respect to racks, racks may be single or dual-leaf (e.g., dual-leaf racks have some set of links in between them). Rack design may include constraints (e.g., connections between servers on racks may have constraints). Oversubscription (e.g., ratio of traffic fed into leaves versus fabric bandwidth) may also be subject to constraints that are used during validation.

FIG. 12 is a flowchart illustrating an embodiment of a process for automatically configuring a computing infrastructure using a graph model. In some embodiments, the process is implemented in management server 102 of FIG. 1, management server 200 of FIG. 2, or management server 402 of FIG. 4. At 1200, intent is received. The intent comprises a desired computing infrastructure configuration. The intent may specify a desired service, a reference architecture, and/or a network requirement. In some embodiments, the intent is a result of a business rule change initiated by a network operator or an operational status change (e.g. a network component is disabled). At 1202, a computing infrastructure is represented as a graph representation. In some embodiments, business rules and policy elements are also represented in the graph representation. For example, the intent may be processed to determine a graph of nodes and edges in implementing the intent. In some embodiments, network devices are represented by nodes whereas relationships between devices are represented by edges. In various embodiments, policies, rules, interfaces, abstract information, or any other appropriate network configuration information is represented in the graph via nodes and edges. In the event the intent indicates a change to an existing network configuration, the intent may be processed and represented as changes to an existing graph model (e.g., by modifying nodes or relationships, deleting nodes or relationships, or adding nodes or relationships). In the event the intent is a first indication of intent for a network, a new graph model may be created based on the intent. In some embodiments, the network is not deployed until sufficient configuration parameters are indicated in the intent. For example, network devices may be configured but not taken online.

At 1204, portions of the graph representation that affect triggering patterns of agents are detected. For example, an agent may be associated with a specific triggering pattern of interrelated nodes and edges. In some embodiments, a triggering pattern is written in a programming language (e.g., Python, PERL, Java, etc.). A triggering pattern may describe a portion of a graph model. In some embodiments, a triggering pattern defines an attribute of a node or edge (e.g., type, property, or tag). In some embodiments, a triggering pattern defines nodes and edges of specific types and defines how the nodes and edges are interrelated in a specific configuration. Changes to the graph representation may cause a specific pattern to occur in the graph representation that was not previously present, invoking an agent associated with the specific pattern. For example, an agent may be invoked based on detection of a specified chain of nodes and relationships of specific types and in a specific order indicated by the pattern. In some embodiments, a triggering pattern associated with an agent matches at least a portion of the graph representation prior to a change to the graph representation and the change to the graph representation modifies (e.g., changes or deletes) the portion of the graph representation that previously matched the triggering pattern. This may result in invocation of the agent in response to detecting that the matching graph representation portion has been modified. For example, the pattern may specify a specific configuration of two specific types of linked nodes and this pattern is detected in the graph representation. A change to a property of any node of the graph representation belonging to a graph portion matching a pattern may invoke the callback function associated with the pattern. In another example, a removal of any element of a portion of the graph representation that used to match a triggering pattern may invoke that agent associated with the triggering pattern.

At 1206, callback functions of invoked agents are invoked. In some embodiments, an agent is associated with a triggering pattern and a callback function. In the event a triggering pattern of an agent is detected, the agent is invoked and a callback function associated with the agent is invoked. The callback functions execute commands (e.g., to implement at least a portion of the intent). For example, the graph model is updated and network devices are configured by the callback functions triggered by detected changes to the appropriate portions of the graph representation associated with triggering patterns. In some embodiments, using a publish-sub scribe model of triggering patterns and callback functions, changes to the network configuration are able to be implemented incrementally.

At 1208, the graph representation is updated, if applicable, based on processing results of the agent callback functions. In some embodiments, a callback function causes modifications, additions, or deletions of nodes or edges in the graph representation. The graph representation is updated based on any changes caused by agent callback functions. In some embodiments, the changes to the graph representation caused by the callback function invoke one or more additional callback functions. In some embodiments, the graph representation accurately represents the network configuration at any given time. Changes to the network configuration may be implemented by changing the graph representation, wherein changing the graph representation triggers agents to perform callback functions that execute the changes.

FIG. 13 is a flow diagram illustrating an embodiment of a process for invoking callback functions. In some embodiments, the process implements 1204 and 1206 of FIG. 12. In some embodiments, the process is implemented by agent manager 202 of FIG. 2. At 1300, it is determined whether the graph has changed. The graph may change based on a received intent or based on invoked callback functions. In some embodiments, changes to the graph caused by one agent trigger another agent. In the event the graph has not changed, the process is finished. In some embodiments, the process is repeated while the network is active (e.g., desired to be configured). In the event the graph has changed, at 1302, it is determined whether changes in the graph affect one or more agents.

In some embodiments, changes to the graph representation invoke an agent in the event a portion of the graph representation associated with a triggering pattern of the agent is detected in, added to, updated in, or removed from the graph representation. In some embodiments, a detection or addition of a portion of the graph representation matching the specific triggering pattern to the graph representation occurs in the event changes to the graph representation cause a portion of the graph representation to match the specific triggering pattern, wherein the portion of the graph representation did not previously match the specific triggering pattern. For example, a portion of the graph representation matching the specific triggering pattern is detected in the graph representation in the event existing nodes and edges in the graph are modified such that a portion of the graph matches the specific triggering pattern. A portion of the graph representation matching the specific triggering pattern is added to the graph representation in the event a new graph portion matching the specific triggering pattern is added to the existing graph.

In some embodiments, a portion of the graph representation matching the triggering pattern in the graph representation is updated in the event the change in the graph representation modifies a node or edge within a portion of the graph representation that matched the specific triggering pattern prior to the change and the portion continues to match the specific triggering pattern following the change.

In some embodiments, a portion of the graph representation associated with the triggering pattern is deleted from the graph representation in the event a change to the graph representation modifies the portion of the graph representation that previously matched the triggering pattern such that the portion of the graph representation no longer matches the triggering pattern. For example, a node or edge may be deleted from the portion of the graph that previously matched the triggering pattern, a node or edge in the portion of the graph that previously matched the triggering pattern may be altered (e.g., an attribute such as type is changed), or the portion of the graph that previously matched the triggering pattern may be deleted in entirety.

In the event changes in the graph do not affect one or more agents, the process is finished. In the event changes in the graph affect one or more agents, at 1304, callback function(s) are invoked. For example, one or more callback functions associated with the one or more agents are invoked. In some embodiments, the callback function is provided an indication of whether a portion of the graph representation associated with a triggering pattern is detected in, added to, updated in, or removed from the graph representation. In some embodiments, different callback functions are called based on the indication in order to perform different actions based on the indication. For example, in the event a specific node-relationship pattern is added to the network configuration graph, the callback function allocates resources (e.g., allocating an IP address for a node of type “link”). In the event the pattern is removed, the callback function removes the resource request for the node.

FIG. 14 is a flowchart illustrating an embodiment of an agent creation flow. In some embodiments, an agent is created to perform a callback function based on a triggering pattern. Multiple agents, each tracking a different triggering pattern, may work together to configure the network appropriately based on changes in a graph model of computing infrastructure. In some embodiments, a modular method of using separate agents increases efficiency in processing changes in intent.

In some embodiments, a set of pre-created agents is associated with a specific network architecture (e.g., leaf-spine architecture). For example, a set of agents and a schema may be associated with a network with leaf-spine architecture. Each network architecture type may have a corresponding schema and set of agents. In some embodiments, a schema or set of agents is customized for a network. Features may be added to the network configuration system by creating or modifying agents. For example, the system may be easily scaled by writing logic to add agents.

The example shown illustrates a process to create an agent. At 1400, a triggering pattern is defined. The triggering pattern may comprise a portion of a graph model of computing infrastructure. An agent may be triggered by edges, nodes, properties, or any aspect of the network configuration graph. In some embodiments, an agent comprises multiple triggering patterns. In some embodiments, each agent has a single triggering pattern. An agent may inject its triggering pattern as a query to a query engine in the management server (e.g., management server 102 of FIG. 1). At 1402, a callback function is defined. In some embodiments, the callback function defines an action to be taken based on the triggering pattern. For example, an agent may be associated with a triggering pattern of a node of type “link” and with a callback function that assigns an IP address. The agent may cause a callback function to assign an IP address in the event a node of type “link” is added to the graph model. In some embodiments, a callback function takes nodes or edges of the graph model as input. For example, the function may be executed based at least in part on a node or edge in a portion of the graph model that matches the triggering pattern.

In some embodiments, an agent comprises a collection of callback functions. For example, different functions may be executed based on whether a portion of a graph model associated with the triggering pattern was added to, modified in, or deleted from the graph model (e.g., whether a portion of the graph model is changed to match the triggering pattern, a property of an edge or node in a portion of the graph model that matches the triggering pattern is changed, or a portion of the graph model matching the triggering pattern is changed to no longer match the triggering pattern). The agent may store multiple functions, wherein the functions are executed based on a type of change in a portion of a graph model associated with the triggering pattern (e.g., “added,” “modified,” or “deleted”), a type of a changed data structure, a position of a changed data structure, a reference/path to a data structure, or any other factor. For example, a triggering pattern may comprise a node of type device with an edge of type link connecting it to a node of type link. One callback function may define an action to be executed in the event the node of type device changes properties, whereas another callback function may define an action to be executed in the event the node of type link is deleted. In the event a triggering pattern defines a pattern comprising two nodes of a same type, different callback functions may be called based on which node is changed.

Agents may serve various roles in configuring the network. In some embodiments, a resource allocation agent is associated with a triggering pattern that represents one or more network elements that require resources to be allocated when the one or more elements are present in a network. A callback function associated with the resource allocation agent may execute actions that allocate resources required for the one or more network elements. For example, a networking configuration graph may be changed to add a cable to the network. A resource allocation agent associated with a triggering pattern of the specific nodes and edges that are created to add a cable may be invoked. A callback function associated with the resource allocation agent may be invoked, causing allocation of resources required for the cable.

In some embodiments, an agent is used to determine whether changes in the graph are consistent with a graph schema associated with the graph. A semantic validation agent may determine whether the graph is ready for downstream processing based on the graph schema. In the event the graph does not fulfill rules stated in the graph schema, the changes may be inapplicable. For example, certain device configurations cannot be rendered in the event IP addresses are unassigned or invalid. For example, a semantic validation agent may be associated with a triggering pattern of an edge type “instantiated_by.” The graph schema may indicate that edges of type “instantiated_by” must have a source node of type “virtual_network” and a target node of type “vn_instance.” In the event an edge of type “instantiated_by” is added to the graph model, the semantic validation agent may be triggered. An associated callback function of the semantic validation agent may determine whether a source node of the edge is of type “virtual_network” and whether a target node of the edge is of type “vn_instance.” In the event the source and target nodes are not of expected types as defined in the graph schema, an error message may be provided to a user.

In some embodiments, an agent performs checks associated with a triggering pattern once the pattern is detected. For example, an agent performs a check on nodes and edges surrounding a node of type “switch” to ensure required nodes and edges are present. In some embodiments, an agent raises alerts or adjusts the network configuration in the event a network component is operating at undesired ranges. For example, an agent may be associated with a triggering pattern of a property of a node of type “server.” In the event a change in a property of the node indicates the server is operating at a high temperature, an associated callback function of the telemetry data agent may be invoked to shut down the server associated with the node of type “server.”

FIG. 15 is a flow diagram illustrating an embodiment of a process to detect and respond to an anomaly. In some embodiments, the system is used to collect network telemetry data, analyze the network, and respond appropriately in a closed loop. Anomalies, actionable signals, impact analysis, or any other appropriate information may be extracted from raw telemetry data. For example, detecting a service, device, or functional component outage (e.g. via telemetry data) may be followed up with a determination of affected consumers or a determination and collection of additional telemetry data collection as required. Based on the analysis, appropriate actions to inform impacted parties or remedy the anomaly may be executed.

At 1510, it is determined that a portion of a graph representation matches a triggering pattern. In some embodiments, the triggering pattern defines a set of managed network elements, wherein the managed network elements are monitored for an anomaly. For example, the triggering pattern may comprise a set of links that traffic belonging to a specific virtual network of a specific tenant traverses. At 1512, an aggregate property of the set of network elements is calculated. In various embodiments, a standard deviation, minimum, maximum, average, or any appropriate statistic or property is calculated. For example, a recent history time series for the traffic on each link may be created and run through a watermark aggregator to determine the number of links running over 80% utilization for more than 30 seconds. At 1514, conditional logic is applied to the result to detect an anomaly. In some embodiments, pre-defined conditional logic comprises a threshold value (e.g. maximum or minimum) for the aggregate property and an anomaly is detected in the event the calculated aggregate property is abnormal based on the threshold value. For example, an anomaly may be generated in the event more than five percent of links in the set of links are running over 80% utilization for more than 30 seconds. At 1516, additional telemetry data is collected based on the anomaly. For example, a complete set of tenants that contribute to traffic on the set of links may be determined. At 1518, a party impacted by the anomaly is determined. For example, other virtual networks and tenants that are impacted by the anomaly may be identified. At 1520, appropriate action based on the anomaly is executed. For example, traffic may be redirected to different links or impacted tenants may be asked to decrease utilization of the links.

In some embodiments, the closed-loop telemetry collection, analysis, and response process is automated. In some embodiments, the aggregate property of the set of network elements is continuously monitored based on a time interval (e.g. calculated every five seconds).

In some embodiments, an agent is associated with a triggering pattern that defines a set of managed elements. In some embodiments, the triggering pattern also defines a property of the set of managed elements. For example, “transmitted_bytes,” referring to a number of transmitted bytes, is a property of a node of type “link.” An agent's associated triggering pattern specifies transmitted bytes of a set of links that traffic belonging to a specific virtual network of a specific tenant traverses by specifying the “transmitted_bytes” property of the set of links. In some embodiments, a function is executed based on a property specified in the triggering pattern to calculate an aggregate property. For example, the agent associated with a triggering pattern that specifies the “transmitted_bytes” property of a set of specified nodes of type “link” may be associated with a callback function that determines the percentage of links (out of links represented by the set of specified nodes of type “link”) running over 80% utilization for more than 30 seconds.

In some embodiments, the agent is associated with a set of functions that calculate an aggregate property of the managed elements, apply conditional logic to the aggregate property, detect an anomaly, and store the anomaly data (e.g. information relaying an anomaly exists or relaying details on the anomaly, such as percentage of links that are running over 80% utilization for more than 30 seconds) in the graph representation. For example, a callback function may determine whether the percentage of links running over 80% utilization for more than 30 seconds is over a threshold. In the event the percentage is determined to be over the threshold, an anomaly may be determined to exist and the anomaly data stored. For example, anomaly data may be stored as a property of a node (e.g. “aggregated_traffic” as a property of a node of type “link” that refers to the percentage of links that are running over 80% utilization for more than 30 seconds). In some embodiments, the anomaly data triggers an additional agent. For example, the additional agent may be associated with a triggering pattern that specifies the “aggregated_traffic” property of a set of links that traffic belonging to the specific virtual network of the specific tenant traverses. The additional agent may trigger additional telemetry. For example, a function associated with the additional agent may be defined to determine a complete set of tenants that contribute to traffic on the set of links. In some embodiments, a separate agent is associated with a triggering pattern that specifies a set of impacted parties. For example, the triggering pattern may specify tenants that have virtual networks that have endpoints that are hosted on servers that are connected via links that have aggregated traffic over a threshold value (e.g. nodes of type “tenant” that share an edge with a node of type “virtual_network,” wherein the node of type “virtual_network” shares an edge with a node of type “endpoint” that shares an edge of type “hosted_on” with a node of type “server,” wherein the node of type “server” shares an edge with a node of type “link,” wherein the node of type “link” has a property of “aggregated_traffic.”) The separate agent may execute an associated function that alerts the tenants.

In some embodiments, the aggregate property is saved (e.g. as a node property) regardless of whether an anomaly is detected or not. Callback functions that are triggered based on the aggregate property may comprise conditionality (e.g. the function will not be called in the event the aggregate property value is not determined to be an anomaly).

In some embodiments, 1512, 1514, 1516, 1518, and 1520 are represented in a graph representation. In some embodiments, a workflow of processing stages (e.g. the steps described at 1512, 1514, 1516, 1518, and 1520) is represented in a directed acyclic graph. In some embodiments, each step is represented as a node. The order of the flow as shown may be represented via directional edges. For example, a node of type “process_step” may comprise information on calculating an aggregate property of network elements and may have a directional edge that points to another node of type “process_step” comprising information on applying conditional logic to the aggregate property, causing the aggregate property calculation step to be performed before the conditional logic step. In some embodiments, the workflow of processing stages (e.g. the steps described at 1512, 1514, 1516, 1518, and 1520) is represented as a portion of a graph representation and is part of a graph representation of computing infrastructure. In some embodiments, the sequence of steps is represented in a separate graph.

Agents may subscribe to graph elements representing stages and react to them by executing processing that is required. In some embodiments, an agent is associated with a triggering pattern of graph elements representing a processing stage or step. In some embodiments, the agent has an associated callback function that executes processing that is defined or parametrized by the graph elements. For example, in the event of a request for data analytics on a specified node of type “link,” a series of nodes of type “process_step” may be created that stem from the specified node of type “link.” The series of nodes may comprise a single chain. For example, an edge that points from the specified node of type “link” can be created and join the specified node of type “link” with a subsequently newly created node of type “process_step,” wherein the newly created node of type “process_step” has a node property that describes a formula to calculate an aggregate property. Following creation of the node of type “process_step” with a node property that describes a formula to calculate an aggregate property, a new edge that points from the aggregate property calculation node can be created and join the aggregate property calculation node with a subsequently created node of type “process_step” which has a node property that comprises a threshold value. In some embodiments, creation of the nodes of type “process_step” cause agents that are associated with triggering patterns that specify the nodes of type “process_step” to be triggered. The creation of the nodes of type “process_step” may occur one at a time, triggering the agents in a desired order.

For example, an agent with an associated triggering pattern of a property of “transmitted_bytes” of the specified node of type “link” may be associated with a callback function that determines whether the specified node of type “link” has an outgoing edge that points to a node of type “process_step” and in the event the specified node of type “link” does share an outgoing edge with a node of type “process_step,” saves the “transmitted_bytes” property value of the node of type “link” to a property of the node of type “process_step.” The “transmitted_bytes” property value may be saved under a property of “base_calculation_value” of the node of type “process_step.” In some embodiments, calculation of the aggregate property is parametrized by the triggering pattern (e.g. a property conveying transmitted bytes is defined in the triggering pattern and is used as input to a calculation of percentage of overutilized links). For example, an agent associated with a triggering pattern that specifies the “base_calculation_value” property of the node of type “process_step” may cause a callback function associated with the agent to execute a calculation of an aggregate property based on the value saved under the “base_calculation_value” property and a formula saved under a “formula” property of the node of type “process_step.” In some embodiments, the aggregate property is saved as a property of the node (e.g. as an “aggregate_property” property value). In some embodiments, values are passed between processing stages by saving them as node or edge properties.

The creation of the second node of type “process_step” that has a node property that specifies a threshold value may trigger an agent that is associated with a triggering pattern that specifies a property of “threshold_value” of the node. A callback function associated with the agent may determine whether an anomaly is present based on the “threshold_value” property value of the second node of type “process_step” and the “aggregate_property” property value of the first node of type “process_step.” In the event an anomaly is detected, an “anomaly” property of the second node of type “process_step” may be updated to indicate that an anomaly is present. In various embodiments, processing steps are executed by various configurations of graphical elements (e.g. nodes, properties, and edges) and agents.

FIG. 16 is a flowchart illustrating an embodiment of a process for generating a verification model. The process of FIG. 16 may be implemented on management server 102 of FIG. 1.

At 1602, a set of requirements of a service is received. The service may be a network service and/or other type of service. In some embodiments, the set of requirements includes a set of declarative requirements. For example, declarative requirements may express a desired configuration of network components without specifying an exact native device configuration and control flow. By utilizing declarative requirements, what should be accomplished may be specified rather than how it should be accomplished.

At 1604, a verification model for each device of the set of requirements is generated to verify the status and implementation of the service. In some embodiments, generating the verification model includes using the received set of requirements along with one or more received constraints associated with the set of requirements to determine a more complete set of requirements to be utilized to generate one or more verification models and one or more device configurations. In some embodiments, validation test procedures are executed and the results are compared against generated expectations. In some embodiments, the received set of requirements has been processed to include information such as a cabling diagram/map. For example, the set of requirements received in 1602 can be processed to specify topology of connections between network components.

At 1606, each generated verification model is provided to each respective device of one or more devices that are utilized to implement the desired service. In some embodiments, providing the generated verification model includes sending the generated verification model to an agent of the respective device. For example, an agent of management server 102 of FIG. 1 may send a generated verification model to an agent of network device 106 of FIG. 1 and send another generated verification model to proxy an agent of network device 108 of FIG. 1. In some embodiments, providing each generated verification model includes storing each generated verification model in data of nodes of a graph representation stored in a data store (e.g., data store 104 of FIG. 1) to allow one or more agents to read and access its respective verification model from the nodes of the graph representation. Thus, rather than directly communicating the verification models to devices, an agent stores the verification models to the nodes of a graph representation to communicate the information.

In some embodiments, a graph representation is verified to ensure that it conforms to a schema that defines allowed elements of the graph representation and how the graph representation is allowed to be structured/connected. For example, an agent that is triggered by a new/modified element or connection of the graph representation may execute via its callback function a verification of the new/modified element or connection to ensure that it satisfies the rules of the schema. In some embodiments, verification is performed during monitoring of a computer network (e.g., monitoring the computer network for problems or anomalies). In some embodiments, verification is performed when configuring a computer network (e.g., configuring a new computer network for operation based on declarative requirements).

FIG. 17 is a flowchart illustrating an embodiment of a process for detecting status parameters. The process of FIG. 17 may be implemented on network device 106 and/or network device 108 of FIG. 1. For example, at least a portion of the process of FIG. 17 may be performed by one or more agents of network device 106 and/or network device 108 of FIG. 1.

At 1702, a verification model is received. In some embodiments, an agent receives a verification model. The agent may be an agent configured to handle the verification using the verification model. In some embodiments, the received verification model is the verification model provided in 1606 of FIG. 16. For example, an agent of a device being verified may obtain the verification model from another agent.

In some embodiments, the received verification model is the verification model provided in 1606 of FIG. 16 for a device of the agent. In some embodiments, receiving the verification model includes detecting (e.g., via a matching triggering pattern) that the verification model has been stored in a node of a graph representation. In some embodiments, the verification model includes a list of one or more connections and associated parameters of the connections, and the associated device/agent of the verification model is to report/verify the existence, status, and/or parameters of the listed connections.

In some embodiments, the verification model includes a list of one or more service processes that should be operating on the associated device of the verification model and the associated device/agent is to report/verify the existence, status, and/or parameters of the listed service processes. In some embodiments, the verification model includes a list of one or more IP addresses that should be configured and are operating on the associated device of the verification model and the associated device/agent is to report/verify the existence, status, and/or parameters of the listed IP addresses. In some embodiments, the verification model includes a list of one or more interfaces of the associated device that should be verified and the associated device/agent is to report/verify the existence, status, and/or parameters of the listed interfaces. In some embodiments, the verification model includes a list of one or more connections between interfaces of the associated device and the other connected device that should be configured and operating and the associated device/agent is to report/verify the existence, status, and/or parameters of the listed interface connections. In some embodiments, the verification model includes a list of one or more device identifications of the associated device and the associated device/agent is to report/verify the existence, status, and/or parameters of the listed device identifications.

At 1704, one or more parameters to be reported to verify the verification model are determined. In some embodiments, the verification model identifies the one or more parameters. For example, the verification model may include a list of parameters of interest and a status/verification of each of these parameters that are to be reported. Examples of the parameters and status include parameters/status of connection sessions, services, IP addresses, interfaces, interface connections, device configurations, device properties, ports, quality of service metrics, etc. In some embodiments, the verification model identifies a higher conceptual item to be verified rather than specific parameters to be verified and one or more parameters that need to be verified to verify the item are identified. For example, the verification model may identify a connection to be verified and one or more parameters of the connection that need to be verified are identified. In some embodiments, determining the one or more parameters includes generating a list of status parameters that need to be detected from the device based on the verification model. In some embodiments, determining the one or more parameters includes identifying device/operating system specific parameters to be verified to verify an item of the verification model. For example, the verification model may include a verification instruction/parameter that is not specific to a particular device type and/or device operating system and an agent translates the verification instruction to a device type/operating system specific instruction/parameter. By allowing the protocol/format/instruction of the verification model to be specific vendor/operating system agnostic, generation of the verification model is simplified. Because each agent may be specific for a particular type of device vendor/operating system, the agent is the most efficient entity to perform the translation between a generic verification item of the verification model to a specific item particular to the device.

At 1706, the determined parameters are detected. In some embodiments, parameter detection is performed when the verification model is received. For example, an initial verification may be performed to ensure that the service of the verification model has been properly initialized/configured in the graph representation. In some embodiments, parameter detection is performed periodically. For example, verification may be performed at a periodic interval on an ongoing basis to ensure proper functioning of the service continually. In some embodiments, parameter detection is performed periodically (e.g., every periodic interval). In some embodiments, parameter detection is performed dynamically. For example, when a potential material change is detected (e.g., in the graph representation), parameter detection may be invoked and performed to ensure that the service is properly functioning despite the change. Examples of the change may include a change to one or more of the following: a network connection, a device hardware, a device operating system, an application of the device, an error event, and any status of the device associated with the verification model. In another example, when a device (e.g., switch) operating system is informed about a change (e.g., changes to a route/routing table), the operating system may notify the agent that in response triggers parameter detection.

In some embodiments, detecting the determined parameters includes obtaining a status of a parameter. For example, a status of a network connection may be obtained. In another example, it may be determined whether an identified process is still functioning. In some embodiments, detecting the determined parameters includes obtaining a value of a parameter. For example, a network identifier (e.g., IP address) of an identified network connection may be determined. In some embodiments, detecting the determined parameters includes obtaining information reported to the device from another device. For example, the device performing the verification detection may receive status reports/messages from its neighbor devices and information included in these reports/messages is obtained. In some embodiments, detecting the determined parameters includes performing an inquiry to another device connected to the device performing the verification detection. For example, an inquiry message may be sent to another device to detect the parameter. In another example, a ping message or a request for information may be sent. In some embodiments, detecting the determined parameters includes obtaining a received message from a connected node/device identifying a parameter/status. For example, a Link Layer Discovery Protocol (LLDP) message may be received from a peer switch and this message is reported/analyzed to perform verification.

At 1708, the detected parameters are reported. For example, one or more of the detected parameters may be detected by one or more agents (e.g., an agent of management server 102 of FIG. 1 that is tasked with performing the verification) and stored in one or more nodes of the graph representation. In some embodiments, reporting the detected parameters includes performing an analysis to determine a verification result. For example, one or more detected parameters are detected by agents that are triggered by a change to parameters of a node of the graph model and the callback function of the agent may perform a comparison with one or more expected values of the parameters to determine whether the expected values have been detected and an identification of the result of the comparison is included in a report. In some embodiments, reporting detected parameters includes determining, using a callback function of an agent triggered by an associated triggering pattern, a summary of one or more of the detected parameters. For example, the detected parameters can be categorized, organized, analyzed, tallied, and/or statistically analyzed and one or more results can be included in a provided report.

In some embodiments, reporting detected parameters includes storing a report in one or more nodes of the graph representation and/or providing the report to a user. In some embodiments, the report includes a determined aggregated summary/count of one or more parameters. For example, the number of interfaces that are active, inactive, expected, etc. may be determined and included in the report in addition to a listing of individual status/parameters (e.g., status identifier, status last update time, etc.) of each interface. In another example, the number of sessions (e.g., BGP sessions) that are active, inactive, expected, etc. may be determined and included in the report in addition to a listing of individual status/parameters (e.g., session state, status last update time, source/destination IP address/ASN, etc.) of each session. In some embodiments, the report includes identification of LLDP messages and one or more parameters (e.g., identification of sending/receiving interfaces and devices, message timestamps, etc.) of the messages that have been exchanged between the device and its peer device.

FIG. 18 is a flowchart illustrating an embodiment of a process for analyzing verification reports. The process of FIG. 18 may be implemented on management server 102 of FIG. 1. In some embodiments, at least one or more portions of the process of FIG. 18 are performed by one or more agents.

At 1802, one or more reports of detected parameters of one or more verification models are received. In some embodiments, the received reports are reports provided in 1708 of FIG. 17 from one or more different agents at one or more instances. For example, a report may be received from each device that has been configured to provide a service being verified. In some embodiments, receiving the reports includes receiving the reports directly from one or more devices. In some embodiments, receiving the reports includes obtaining/receiving the reports from one or more nodes of a graph representation.

At 1804, the reports are analyzed. For example, reported data included in the received reports can be correlated, compared, and otherwise analyzed to determine whether the service has been properly implemented/configured and/or is properly functioning. In some embodiments, one or more expected values and/or expected status corresponding to a properly functioning state of the service are known and the reports are analyzed to verify that the expected values/status have been detected. In some embodiments, analyzing the reports includes determining whether an error message and/or an indication of an unexpected state has been reported in the reports.

In some embodiments, an expectation associated with the received reports is verified. For example, one or more rules or tests can be performed to verify that a value included in the report is as expected, specified, and/or within a range. In some embodiments, the expectation includes one or more tests to be performed to verify that a set of requirements has been successfully achieved. For example, a received set of network requirements may specify one or more tests to be performed to verify that the set of network requirements has been successfully achieved. For example, in an L3 Clos network, a test to verify that routing tables have been successfully updated and leaf switch nodes are aware of neighbors to reflect the Clos network configuration may be received along with the received network requirements. This test may be published by one or more agents and one or more agents may receive the test as the expectation for verification. In some embodiments, the expectation identifies an acceptable range for a resource utilization indicator. In some embodiments, the expectation identifies an error state of the received status.

In some embodiments, performing the analysis includes determining that throughput and/or quality of service/performance metrics are met. In some embodiments, performing the analysis includes determining whether all required connections between devices to provide the desired service have been properly configured/detected across all reports from the devices providing the service. For example, rather than merely checking each report in isolation, data reported in multiple reports from different devices may be correlated to determine that connection data/parameters between two devices that are supported to be connected match to create a valid connection. In some embodiments, performing the analysis includes determining whether one or more parameters/connections that are extraneous (or not supposed to exist to provide the desired service) exist. In some embodiments, performing the analysis includes verifying isolation of domains and/or ensuring that one domain is not overutilizing resources.

At 1806, an action, if applicable, is performed based on the analysis of the reports. In some embodiments, no action is performed if the data included in the received reports is as expected, specified, and/or within a range. For example, it may be determined that the service is properly functioning and/or has been properly configured. In some embodiments, it is determined that the service is not properly functioning and/or has not been properly configured and a message is provided to indicate this error (e.g., via an agent). In some embodiments, an expectation identifies the responsive action to be performed based on the data of the received reports. In some embodiments, performing the action includes reporting a data of the reports. For example, a result of a test may be reported (e.g., report a result of a test to verify that the set of network requirements has been successfully achieved). In some embodiments, reporting the data of the reports includes summarizing data of the reports. Reporting the data of the reports may include providing the report/status to an agent (e.g., the agent may provide the report/status to a user).

In some embodiments, performing the action includes configuring, moving, removing, and/or adding a device of a network and/or a process/program of a device of the network. For example, an agent may generate instructions (e.g., publish device requirements to a system data store for an agent to implement on a device) to automatically mitigate/fix an error indicated by the status (e.g., repair/replace a device that has encountered an error). In one example, when an agent provides a status update that its associated device is overloaded, the agent may add a new device to a network to offload processing and/or move a processing task of the overloaded device to another network device. The collected status information may be provided by an agent as a report and/or a request for action.

In some embodiments, performing the action includes allowing an agent that is configured to perform the action to perform the action. For example, an agent that has determined that the received status indicates that the action should be performed informs another agent (e.g., due to detecting a triggering pattern of the agent) to perform the action.

Although the foregoing embodiments have been described in some detail for purposes of clarity of understanding, the invention is not limited to the details provided. There are many alternative ways of implementing the invention. The disclosed embodiments are illustrative and not restrictive. 

What is claimed is:
 1. A method, comprising: receiving an identification of a connectivity template to be applied to a design of a computer network; automatically analyzing the design of the network to identify eligible application points in the design of the network where the connectivity template is eligible to be applied; receiving a specification of one or more specific ones of the identified eligible application points where the connectivity template is to be applied; and applying the connectivity template to the specified one or more specific ones of the to identified eligible application points to configure the computer network.
 2. The method of claim 1, wherein the identification of the connectivity template specifies a selection among a library of available connectivity templates.
 3. The method of claim 1, wherein the connectivity template was built by a user using one or more other connectivity templates that includes at least one primitive.
 4. The method of claim 1, wherein the connectivity template has been configured using one or more parameters provided by a user.
 5. The method of claim 1, wherein the design of the computer network includes a specification of physical devices and connections between the physical devices.
 6. The method of claim 1, wherein the design of the computer network identifies one or more generic type devices with corresponding application points.
 7. The method of claim 1, wherein the design of the computer network has been at least in part automatically generated based on intent-based declarative requirements provided by a user.
 8. The method of claim 1, wherein the identified eligible application points include at least one of the following: a port, a port channel, a subinterface, a routing instance, a routing or security zone instance, or an Internet Protocol (IP) interface.
 9. The method of claim 1, wherein automatically analyzing the design of the network to identify eligible application points includes analyzing the connectivity template to determine one or more application point types that the connectivity template is eligible to be applied to and identifying the eligible application points that are of the one or more application point types.
 10. The method of claim 1, wherein automatically analyzing the design of the network to identify eligible application points includes analyzing the connectivity template to determine an intersection between sets of application point types and each of the sets corresponding to a different one of component connectivity templates utilized in the connectivity template.
 11. The method of claim 1, further comprising indicating via a user interface the identified eligible application points as eligible for application of the connectivity template and indicating other application points as not eligible for application of the connectivity template.
 12. The method of claim 1, wherein receiving the specification of the one or more specific ones of the identified eligible application points includes receiving a user selection of items among a listing of the identified eligible application points.
 13. The method of claim 1, wherein the connectivity template is one of a plurality of connectivity templates being applied to a same connect point among the identified eligible is application points.
 14. The method of claim 1, wherein applying the connectivity template to the specified one or more specific ones of the identified eligible application points includes establishing, defining, managing, or modifying one or more properties of the specified one or more specific ones of the identified eligible application points based on the connectivity template and an application context within the design of the network.
 15. The method of claim 1, wherein applying the connectivity template to the specified one or more specific ones of the identified eligible application points includes automatically determining an intent associated with the application of the connectivity template and performing administration or management functionality automatically performed based on the determined intent.
 16. The method of claim 1, further comprising detecting a change to the connectivity template and in response automatically updating a configuration of the specified one or more specific ones of the identified eligible application points based on the change to the connectivity template.
 17. The method of claim 1, further comprising detecting a change to a certain application point where the connectivity template has been applied and in response automatically updating a configuration of the certain application point based on the detected change and the connectivity template.
 18. The method of claim 1, wherein applying the connectivity template includes enabling a Border Gateway Protocol (BGP) peering session towards a floating Internet Protocol (IP) address.
 19. A system, comprising: a processor configured to: receive an identification of a connectivity template to be applied to a design of a computer network; automatically analyze the design of the network to identify eligible application points in the design of the network where the connectivity template is eligible to be applied; receive a specification of one or more specific ones of the identified eligible application points where the connectivity template is to be applied; and apply the connectivity template to the specified one or more specific ones of the identified eligible application points to configure the computer network; and a memory coupled to the processor and configured to provide the processor with instructions.
 20. A computer program product embodied in a non-transitory computer readable medium and comprising computer instructions for: receiving an identification of a connectivity template to be applied to a design of a computer network; automatically analyzing the design of the network to identify eligible application points in the design of the network where the connectivity template is eligible to be applied; receiving a specification of one or more specific ones of the identified eligible application points where the connectivity template is to be applied; and applying the connectivity template to the specified one or more specific ones of the identified eligible application points to configure the computer network. 